Fernando Suárez
Impact in
- Marketing top 2%
- Service and Product Innovation
- Consumer Retail Behavior Studies
-
- Customer Service Quality and Loyalty
Papers in
-
- Risk and Portfolio Optimization 2
- Stock Market Forecasting Methods 1
- Co-authors
- Michael A. Cusumano (2 shared papers)Steven J. Kahl (1 shared paper)Domagoj Vrgoč (2 shared papers)Juan L. Reutter (2 shared papers)Martín Ugarte (1 shared paper)Pierre Bourhis (1 shared paper)Francisco Almeida (1 shared paper)Arturo Cifuentes (2 shared papers)
- Journals
- Strategic Management Journal (2 papers)Management Science (1 paper)Quantitative Finance (1 paper)Lecture notes in computer science (1 paper)Revista Colombiana de Cardiología (1 paper)
- Partner nations
- ChileUnited StatesSpain
In The Last Decade
Fernando Suárez
8 papers receiving 948 citations
Fernando Suárez's Hit Papers
Peers
Comparison fields: 5 of 107
- Marketing 443
- Organizational Behavior and Human Resource Management 253
- Strategy and Management 276
- Business and International Management 32
- Management Information Systems 120
Countries citing papers authored by Fernando Suárez
This map shows the geographic impact of Fernando Suárez's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fernando Suárez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Suárez more than expected).
Fields of papers citing papers by Fernando Suárez
This network shows the impact of papers produced by Fernando Suárez. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fernando Suárez. The network helps show where Fernando Suárez may publish in the future.
Co-authors
The 11 scholars most cited alongside Fernando Suárez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 357 | |
| 2 | Foundations of JSON Schema Hit paper breakdown → | 2016 | 274 |
| 3 | 2012 | 271 | |
| 4 | 2017 | 68 | |
| 5 | 2008 | 9 | |
| 6 | 2024 | 7 | |
| 7 | 1995 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2025 | 0 | |
| 10 | 2022 | 0 |
About Fernando Suárez
Fernando Suárez is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture and Finance, having authored 10 papers that have together received 993 indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (2 papers), Software Engineering Research (1 paper), Stock Market Forecasting Methods (1 paper), Distributed and Parallel Computing Systems (1 paper), Service and Product Innovation (1 paper), Parallel Computing and Optimization Techniques (1 paper), Digital Platforms and Economics (1 paper) and Atrial Fibrillation Management and Outcomes (1 paper). The work is most often cited by research in Marketing (443 citations), Organizational Behavior and Human Resource Management (253 citations), Strategy and Management (276 citations), Business and International Management (32 citations) and Management Information Systems (120 citations). Fernando Suárez has collaborated with scholars based in Chile, United States and Spain. Frequent co-authors include Michael A. Cusumano, Steven J. Kahl, Domagoj Vrgoč, Juan L. Reutter, Martín Ugarte, Pierre Bourhis, Francisco Almeida, Arturo Cifuentes, Marcos E. Orchard and Óscar Múñoz. Their work appears in journals such as Strategic Management Journal, Management Science, Quantitative Finance, Lecture notes in computer science and Revista Colombiana de Cardiología.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.